UMEDNet: a multimodal approach for emotion detection in the Urdu language
Emotion detection is a critical component of interaction between human and computer systems, more especially affective computing, and health screening. Integrating video, speech, and text information provides better coverage of the basic and derived affective states with improved estimation of verba...
Saved in:
| Main Authors: | Adil Majeed, Hasan Mujtaba |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-05-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2861.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Benchmark Dataset and a Framework for Urdu Multimodal Named Entity Recognition
by: Hussain Ahmad, et al.
Published: (2025-01-01) -
UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data
by: Muhammad Zaheer Akhtar, et al.
Published: (2025-06-01) -
Prosodic Analysis: It's Symbolic Method, Recommendations and Principles for Urdu
by: Javed Iqbal Qazi
Published: (2022-06-01) -
An Important Milestone of Modern Urdu Naat: Abdul Aziz Khalid
by: Asif Ali Chatha
Published: (2020-06-01) -
UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu
by: Kifayat Ullah, et al.
Published: (2025-01-01)